AI and LLM Lead

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.

Job Title:

AI and LLM Lead

Company:

Prologis

A day in the life

We are seeking a highly motivated and strategic AI & LLM Lead to join our data science team. This individual will be responsible for identifying, designing, and executing AI-driven solutions, with a strong focus on leveraging large language models (LLMs) and generative AI to create transformative applications across business units. This role is ideal for someone who combines deep technical expertise with strong business acumen, and who thrives on building from 0 to 1.

Key Responsibilities Include

• Business Use Case Translation: Collaborate with business leaders to translate strategic goals into AI opportunities. Engage with functional leads to clarify requirements, convert them into analytical hypotheses, rapidly prototype and iterate solutions.
• Lead AI Project Lifecycle: Own the end-to-end process from ideation and stakeholder engagement to deployment and post-launch evaluation of AI and LLM initiatives.
• Model Development & Deployment: Execute the full data-science workflow—including EDA, feature engineering, model selection, validation, and monitoring—adhering to team coding and documentation standards.
• LLM Application Development: Design and implement LLM powered applications, tailored to solve real estate-specific challenges (e.g., lease abstraction, tenant communication, investment memo summarization). Craft prompts, fine-tune domain-specific models, or create retrieval-augmented generation pipelines that boost productivity or customer experience.
• Deployment & Monitoring: Work with MLOps and engineering teams to deploy models into production environments, establish monitoring frameworks, and continuously improve solution performance.
• Cross-Functional Collaboration: Act as a bridge between product, engineering, data, and business teams to align AI solutions with user needs and technical feasibility.
• Insight Communication: Distill findings into clear narratives and visualizations; present recommendations to technical and non-technical stakeholders.
• Technical Guidance: Provide peer mentorship, code and architecture reviews, and technical best practices to elevate the broader team’s capabilities 
• Continuous Improvement: Stay current on emerging algorithms and tooling; propose POCs that can raise model accuracy, reduce latency, or lower cost.

Building blocks for success

Preferred

• 3+ years of hands-on experience in applied AI/ML development (1-2 years with advanced STEM degree), with at least 2 years focusing on LLMs or NLP-related technologies.
• Demonstrated ability to convert business questions into deployable ML solutions and explain results to non-experts.
• Proven success owning and delivering cross-functional AI/LLM projects from start to finish.
• Experience working in or supporting real estate, logistics, finance, or other asset-heavy industries is a plus.

Technical Skills

• Proficient in Python (pandas, scikit-learn, PyTorch/TensorFlow, Langchain etc), SQL, and version control.
• Solid grounding in supervised, unsupervised, and deep learning techniques plus model-evaluation best practices.
• Hands-on experience fine-tuning or integrating LLMs such as GPT, LLaMA, Claude, Gemini, etc.
• Experience with vector databases (e.g., FAISS, Pinecone), embeddings, and RAG architectures.
• Solid understanding of cloud platforms (AWS, Azure, GCP) and MLOps tools.

Hiring Salary Range of: $135,000 - $190,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.

All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time. 

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

San Francisco, California

Additional Locations:

Cerritos, California, Denver, Colorado, Milpitas, California, Newport Beach Office, Ontario, California, Toronto, Ontario, Canada